code: def _symeig(
      input, eigenvectors=False, upper=True, *, out=None
  ) -> Tuple[Tensor, Tensor]:
      raise RuntimeError(
          "This function was deprecated since version 1.9 and is now removed. "
          "The default behavior has changed from using the upper triangular portion of the matrix by default "
          "to using the lower triangular portion.\n\n"
          "L, _ = torch.symeig(A, upper=upper) "
          "should be replaced with:\n"
          "L = torch.linalg.eigvalsh(A, UPLO='U' if upper else 'L')\n\n"
          "and\n\n"
          "L, V = torch.symeig(A, eigenvectors=True) "
          "should be replaced with:\n"
          "L, V = torch.linalg.eigh(A, UPLO='U' if upper else 'L')"
      )
  
file_path: pytorch/torch/_linalg_utils.py
imports: from typing import Optional, Tuple
  import torch
  from torch import Tensor
label_desc: Use image node_id 14 for calling a global function with example usage: _symeig(input, eigenvectors, upper) without return types